Triple

T20868973
Position Surface form Disambiguated ID Type / Status
Subject Pittington E513839 entity
Predicate hasSubdivision P747 FINISHED
Object Low Pittington NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Low Pittington | Statement: [Pittington, hasSubdivision, Low Pittington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Low Pittington
Context triple: [Pittington, hasSubdivision, Low Pittington]
  • A. Pittington chosen
    Pittington is a village in County Durham, England, known for its rural setting and proximity to historic estates such as Elemore Hall.
  • B. Pinxton
    Pinxton is a village and civil parish in the Amber Valley district of Derbyshire, England, historically associated with coal mining and the production of Pinxton porcelain.
  • C. Privett
    Privett is a small rural village in the East Hampshire district of Hampshire, England, known for its historic church and countryside setting.
  • D. Hickinbottom
    Hickinbottom is an English surname most notably borne by Gary Hickinbottom, a British judge.
  • E. Potton
    Potton is a small market town in Bedfordshire, England, known for its historic town centre and rural surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c4624ce48190b85e5bb24cf0a305 completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.